THE APPLICATIONS OF USAGE OF BUSINESS ANALYTICS IN INDUSTRY 4.0.

Purpose: The purpose of this publication is to present the applications of usage of business analytics in Industry 4.0. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: Specifically, the paper discussed how business analytics is employed in predictive maintenance, supply chain optimization, and quality control. Predictive maintenance allows organizations to proactively address equipment failures, thereby reducing downtime and maintenance costs. Supply chain optimization optimizes resource allocation, minimizes costs, and improves customer service through data-driven decision-making. Quality control relies on data analytics to monitor, assess, and enhance product and service quality, ultimately leading to cost reduction and customer satisfaction. It is evident that business analytics is not merely a tool but a strategic imperative for organizations in the era of Industry 4.0. It empowers them to continuously improve their operations, mitigate risks, and stay ahead in a rapidly evolving business landscape. As technology and data analytics capabilities continue to advance, businesses that effectively leverage these tools will be better positioned to thrive in the dynamic and competitive world of Industry 4.0. Originality/value: Detailed analysis of all subjects related to the problems connected with the usage of business analytics in Industry 4.0. [ABSTRACT FROM AUTHOR]